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[HTML][HTML] A systematic review of hyperparameter optimization techniques in Convolutional Neural Networks
Abstract Convolutional Neural Network (CNN) is a prevalent topic in deep learning (DL)
research for their architectural advantages. CNN relies heavily on hyperparameter …
research for their architectural advantages. CNN relies heavily on hyperparameter …
Music deep learning: deep learning methods for music signal processing—a review of the state-of-the-art
The discipline of Deep Learning has been recognized for its strong computational tools,
which have been extensively used in data and signal processing, with innumerable …
which have been extensively used in data and signal processing, with innumerable …
Dermatologist-level classification of skin cancer using cascaded ensembling of convolutional neural network and handcrafted features based deep neural network
Skin cancer is caused due to unusual development of skin cells and deadly type cancer.
Early diagnosis is very significant and can avoid some categories of skin cancers, such as …
Early diagnosis is very significant and can avoid some categories of skin cancers, such as …
Bmnet-5: A novel approach of neural network to classify the genre of bengali music based on audio features
Music genre classification (MGC) is the process of putting genre labels on music by
analyzing the sounds or words. With the rapid growth of music data repositories, MGC can …
analyzing the sounds or words. With the rapid growth of music data repositories, MGC can …
WB-CPI: Weather based crop prediction in India using big data analytics
This paper aims at collecting and analysing temperature, rainfall, soil, seed, crop production,
humidity and wind speed data (in a few regions), which will help the farmers improve the …
humidity and wind speed data (in a few regions), which will help the farmers improve the …
An efficient approach of product recommendation system using NLP technique
As we are moving toward an age of digital globalization and online shop**, there is an
increasing need for an efficient and reliable system that can help the consumers and the …
increasing need for an efficient and reliable system that can help the consumers and the …
STARC: Deep learning Algorithms' modelling for STructured analysis of retina classification
Retina is the heart of an eye which generates electrical impulses due to light sensitivity. The
vessel formation in human eye is an essential key for diagnosing ophthalmological …
vessel formation in human eye is an essential key for diagnosing ophthalmological …
Hyperparameter Optimization of the Machine Learning Model for Distillation Processes
KC Oh, H Kwon, SY Park, SJ Kim… - International Journal of …, 2024 - Wiley Online Library
This study was conducted to enhance the efficiency of chemical process systems and
address the limitations of conventional methods through hyperparameter optimization …
address the limitations of conventional methods through hyperparameter optimization …
Enhancing gun detection with transfer learning and YAMNet audio classification
Identification of the type of gun used is essential in several fields, including forensics, the
military, and defense. In this research, one of the powerful deep learning architectures is …
military, and defense. In this research, one of the powerful deep learning architectures is …
Psychological factors influencing successful music learning using deep learning technologies
Z Xu, Q Xu - Interactive Learning Environments, 2024 - Taylor & Francis
The purpose of this study is to compare academic results and psychological factors of
influence in the context of the use of deep learning technologies. The experiment involved …
influence in the context of the use of deep learning technologies. The experiment involved …